Raphael Lab research is focused on Bioinformatics and Computational Biology.
Current research interests include next-generation DN...l variation, genome rearrangements in cancer and evolution, and netwo..., and motif finding.
More athttp://compbio.cs.brown.edu/
The Bioinformatics Centre at BISR has created an infrastructure for providing facilities to the users working i...of Rajasthan, Jaipur in particular, are using facilities ava...nformatics software for sequence and structure analysis. The...on thrust ares of Bioinformatics
Research Training to st...
This research group works on problems from the fields of Bioinformatics, Biotechnology, Data Mining, a...on Retrieval. The group's research projects includes Comparativ...al genomes, Metagenomics, Genomic databases, Pattern Discovery...rmation retrieval, knowledge discovery in electronic medical re...
The bakers yeast, Saccharomyces cerevisiae is an idea...model organism to understand mechanisms of meioticchromosome segregation. In S. cerevisiae and in mammals, the...pathway. We are interested in charactering the role of these...erstanding the effect of genetic background on mutation rate v...
The focus of Dr. Singh’s research and teaching is on the molecular mechanistic basis for environmental carcinogen-induced genetic (DNA damage) and epigeneticchanges, and susceptibility to human cancer development
More at http://www.tiehh.ttu.edu/dr.-kamaleshwar-singh.html
Laboratory of Statistics and Computational tools for Bioinformatics
The Laboratory of Statistic...utational tools for Bioinformatics (BioinfoLab) is hosted at th...R . The laboratory has been officially opened in 2012 with the...Lab is to develop novel statistical methods and computational t...
Focusing on understanding the molecular mechanisms that regulate mRNA translation, localization and stability and ro...n DNA is estimated to be transcribed into so called non-codin...are a class of such short non-coding RNAs. They regulate expr...markers, as well as therapeutic agents.
Our lab is located a...
They develop machine learning techniques to better understand chromatin biology. These models and algorithms transform high-dimensional functional genomics data into interpretable patterns and lead to new biological insight.
https://www.pmgenomics.ca/hoffmanlab/
TheLab seek to understand the genetic factors contributing to genomic variation and phenotypic diversity. To this end, we emplo...formatic tools to study evolutionary processes at the level of populati...uding the evolution of organellar and nuclear genomes, gene duplication...
A major focus of our lab is understanding the effects of genetic variation on molecular phenotypes and human...develop methods for integrating diverse functional genomic datasets of tra...ross multiple conditions to interpret genetic associations, identify causal...